The core aspect of most multimedia applications is the transmission of Variable Bit Rate (VBR) video streams requiring a sustained relatively high bandwidth with stringent Quality of Service (QoS) guarantee. In such systems, a statistical bandwidth estimation is especially relevant as it is indispensable for implementing an efficient admission control. In this paper a novel measurement-based admission control algorithm for video distribution systems has been developed. Such an algorithm estimates the bandwidth occupied by the actual video streams, observing their temporal evolution in a chosen measurement window. In particular, for each video stream, the estimation procedure needs an online measurement of the bandwidth values assumed successively and their persistence time. An exponential weighted moving average filter is used for smoothing the estimated values. Finally, some measurements of video traffic are shown comparing the results with simulation and other analytical results, discussing the effectiveness of the. considered solution.
Live Admission Control for Video Streaming / Camarda, Pietro; Striccoli, Domenico. - STAMPA. - 2601:(2003), pp. 292-305. (Intervento presentato al convegno 2nd International Workshop on Quality of Service in Multiservice IP Networks, QoS-IP 2003 tenutosi a Milano, Italy nel February 24-26, 2003) [10.1007/3-540-36480-3_21].
Live Admission Control for Video Streaming
Pietro Camarda;Domenico Striccoli
2003-01-01
Abstract
The core aspect of most multimedia applications is the transmission of Variable Bit Rate (VBR) video streams requiring a sustained relatively high bandwidth with stringent Quality of Service (QoS) guarantee. In such systems, a statistical bandwidth estimation is especially relevant as it is indispensable for implementing an efficient admission control. In this paper a novel measurement-based admission control algorithm for video distribution systems has been developed. Such an algorithm estimates the bandwidth occupied by the actual video streams, observing their temporal evolution in a chosen measurement window. In particular, for each video stream, the estimation procedure needs an online measurement of the bandwidth values assumed successively and their persistence time. An exponential weighted moving average filter is used for smoothing the estimated values. Finally, some measurements of video traffic are shown comparing the results with simulation and other analytical results, discussing the effectiveness of the. considered solution.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
